import json
import pygal_maps_world.maps

from country_codes import get_country_code

# 将数据加载到一个列表中
filename = 'population_data.json'
with open(filename) as f:
    pop_data = json.load(f)

# 创建一个包含人口数量的字典
cc_populations = {}
for pop_dict in pop_data:
    if pop_dict['Year'] == '2010':
        country = pop_dict['Country Name']
        population = int(float(pop_dict['Value']))
        code = get_country_code(country)
        if code:
            cc_populations[code] = population
            
# 根据人口数量将所有国家分为三组
cc_pops_1, cc_pops_2, cc_pops_3 = {}, {}, {}
for cc, pop in cc_populations.items():
    if pop < 10000000:
        cc_pops_1[cc] = pop
    elif pop < 1000000000:
        cc_pops_2[cc] = pop
    else:
        cc_pops_3[cc] = pop

wm = pygal_maps_world.maps.World()
wm.title = 'World Population in 2010, by Country'
wm.add('0 - 10m', cc_pops_1)
wm.add('10m - 1bn', cc_pops_2)
wm.add('>1bn', cc_pops_3)

wm.render_to_file('world_population.svg')